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Continuous conditional video synthesis by neural processes
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DOI：10.1016/j.cviu.2025.104387.png)
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Abstract
En 中文
• The first neural process-based unified video synthesis model for multiple tasks. • We achieve temporal continuous frame generation by impolict neural representation. • Achieves superior performance in video frame interpolation and continuous prediction.
Keywords:
Continuous video synthesis
Frame prediction
Frame interpolation
Neural processes
Implicit neural representation
Transformers
Journal
IF:
3.5
Papers:
428
Citations:
7.3K
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